Job Details:

Job Description:

Responsibilities
Research quantization and compression techniques for large language models (LLMs) and text-to-image generation models;
Contribute to and support the development and optimization of Intel Neural Compressor, Intel/auto-round, and related tools;
Track and explore cutting-edge directions in efficient model deployment and inference acceleration.

Qualifications:

Requirements

• Bachelor’s or Master’s degree candidate in Computer Science, Software Engineering, or related fields.
• Solid understanding of deep learning or large language model (LLM) fundamentals and applications;
• Familiarity with model compression techniques such as quantization and pruning;
• Proficiency in Python or other programming languages commonly used for deep learning development.
• Preferred Qualifications
• Strong self-motivation and problem-solving skills;
• Passion for technological innovation and practical engineering, with a drive for continuous exploration and improvement;
• Experience in model fine-tuning, inference optimization, or related tool development is a plus.

          

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Additional Locations:

Business group:

The Sales and Marketing Group (SMG) leverages the product portfolio to drive Intel's revenue growth and market expansion, blending strategic initiatives with dynamic sales efforts to capture and retain customers. SMG is responsible for empowering the sales force with tools and insights needed to close deals and build lasting customer relationships. Sales analytics and market research ensure strategies are both targeted and impactful. In SMG, disciplined execution, creativity, and ambition are celebrated, providing ample opportunities for career advancement and skill development.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.